Podcast of Small Differences
Summary: A podcast about data science, but centering on how data science exists within a company and within the web of human behaviors. Hosted by Otis Anderson and Ian Blumenfeld, who have both data scienced for a long time. Hear from some data humans who have had some successes and some failures. We know, this isn't easy. donate: https://www.patreon.com/ofdifferences follow: https://twitter.com/OfDifferences Otis: https://twitter.com/oldjacket ian: https://twitter.com/ianblu1
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- Artist: Otis Anderson
- Copyright: All rights reserved
Podcasts:
We finally discuss Otis' workflow. Some time is spent on the dreaded correlated error terms. Some abuse is hurled at econ departments and stata.
We read responses to previous episodes. We discuss data engineering decisions early in a company, and discuss Ian's ML workflow in some depth. Talk to us: feed.back@smalldiffcast.com or @OfDifferences on twitter.
Ian has work news. Otis has fears about jira. Reproducibility has varying degrees of value.
Otis and Ian talk about self driving cars and ETL with a small segway in between. 01:54 Robot Cars and Pedestrians: https://www.bloomberg.com/news/articles/2018-08-16/to-get-ready-for-robot-driving-some-want-to-reprogram-pedestrians 22:50 ETL https://en.wikipedia.org/wiki/Extract,_transform,_load
We discuss p-hacking and overfit in different organizational contexts. now with show notes at https://www.smalldiffcast.com/blog/2018/8/8/show-notes-episode-2
Ian and Otis talk about what they wish they knew on day one of the their careers as data scientists.
